x = independently organized TED event

This event occurred on
March 6, 2023
Boston, Massachusetts
United States

In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized (subject to certain rules and regulations).

The 'Quin House
217 Commonwealth Avenue
Boston, Massachusetts, 02116
United States
Event type:
Standard (What is this?)
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Speakers may not be confirmed. Check event website for more information.

Abhishek Singh

Abhishek is a 2nd year Ph.D. student at MIT Media Lab. He is interested in the self-organization and decentralization of machine learning algorithms. The central question guiding his research is -- how can we (algorithmically) engineer the principles of self-organization to build anti-fragile systems. He has co-authored multiple papers and built systems in machine learning, data privacy, and distributed computing. Before joining MIT, Abhishek worked with Cisco for 2 years where he did research in AutoML and Machine Learning for systems.

Albert Fernandez

Born in California’s Central Valley to parents who started as migrant farmworkers, Albert Fernandez’s journey into the entertainment industry began by acting in commercials at just fifteen. Seeking to create opportunities for underrepresented voices, he became the first generation of his family to attend college; studying Film & TV Production at NYU’s Tisch School of the Arts. Post-graduation, Albert interned at The White House where he won a speechwriting competition and had the honor of introducing now President Joe Biden. After his time with the Obama Administration, he returned to the West Coast where The Producers Guild, CBS, and the Moving Picture Institute named Albert as one of their fellows for their respective diversity workshops. A passionate topic of his, Albert worked alongside Congressman Joaquin Castro on advocating for legislative initiatives to increase equity & inclusion in Hollywood. As the Pandemic encouraged him to innovate, Albert is currently an MBA student in the Sloan School of Management at the Massachusetts Institute of Technology (M.I.T.) where he was recently honored to be selected as a Visiting Lecturer of Entrepreneurship to the Skolkovo Institute of Science and Technology in Moscow, Russia.

Alejandro Maldonado

Alejandro Maldonado is a seasoned entrepreneur with 20 years of experience in AI, technology, and creative industries. He holds an MBA from the University of California, Berkeley and leverages his strong business background to bring a unique perspective on how AI and technology can be used to drive innovation and growth in the field. He also serves as a mentor and advisor for startups, sharing his expertise and knowledge to help new businesses succeed. With a background spanning from communication to technology and experience developing generative AI technologies for design and real estate, Alejandro has a deep understanding of the capabilities and limitations of AI, and a passion for exploring the intersections between creativity and technology.

Alex Gu

I am a PhD student at MIT advised by the wonderful Armando Solar-Lezama. I also did my bachelor's and Master's degrees at MIT, advised by Armando and Jacob Andreas. I have done internships at Meta AI Research, Jane Street, and My research is generously funded by the NSF GRFP.

Alex McNeilly

I'm a computer science student at MIT. I've been building augmented reality projects since I was 15, and I've been fascinated with everything immersive for almost six years now. I have also worked on open resources for learning AR development and was a speaker at the VR/AR Global Summit a few years back. I want to talk about the fusion of AI with augmented reality and how generative deep learning will allow us to create personal 3D content and overlay it onto the world around us. I like to call it generative reality.

Anna Ivanova

Anna is fascinated by the relationship between language and thought. During her PhD at MIT Brain and Cognitive Sciences, she used neuroscience tools to show that language processing in the brain is distinct from other aspects of human cognition. Today, Anna is applying her neuroscience training to study not just humans, but also artificial neural networks. She wants to know whether models like ChatGPT are actually good at language - and if so, does it also mean that they can think?

Anna L. Ivanova

Anna is fascinated by the relationship between language and thought. During her PhD at MIT Brain and Cognitive Sciences, she used neuroscience tools to show that language processing in the brain is distinct from other aspects of human cognition. Today, Anna is applying her neuroscience training to study not just humans, but also artificial neural networks. She wants to know whether models like ChatGPT are actually good at language - and if so, does it also mean that they can think?

Ashwin Gopinath

Dr. Ashwin Gopinath is an Assistant Professor at MIT, working at the intersection of CMOS nanofabrication, molecular self-assembly, biology and machine learning. Ashwin is a trained Electrical Engineer with a PhD from Boston University and worked as a research scientist at Caltech as well as Google [X]. He has co-authored over 21 papers in journals like Nature, Science, PNAS etc and was awarded 2017 Robert Dirk Prize in Molecular programming for his contributions to merging DND nanotechnology with conventional semiconductor processing.

Catherine Havasi

Dr. Catherine Havasi is a technology strategist, AI researcher, and entrepreneur. In the late 90s, she was a crowdsourcing pioneer when she co-founded the Common Sense Computing Initiative, or ConceptNet, the first crowd-sourced project for artificial intelligence and the largest open knowledge graph for language understanding. Her academic work has spanned computational creativity, transfer and meta learning, natural language understanding, and educational outreach, resulting in several spin-out companies and exits. She is currently chief of technology strategy and innovation at Babel Street following their merger with Basis Tech's Rosette.

Christina Lopes

Christina Lopes is CEO and Founder of the One Health Company, an AI and genomics oncology company. One Health’s novel platform, FidoCure, was validated by Nature (precision oncology) for improving canine cancer outcomes while also demonstrating that studying cancer in dogs can help advance human cancer R&D. One Health’s unique mission to fight cancer on both sides of the leash is backed by both Andreessen Horowitz (a16z bio + health portfolio) and Y-Combinator. Previously, Christina was Managing Director of Cerberus Capital, a private equity firm with $50B under management. She also served as Advisory Board Director for International Planned Parenthood, which serves 30 million health services per year. The World Economic Forum at Davos recognized Lopes as a Young Global Leader and Inc. Magazine named her a Top100 Female Founder. She is listed as author of several scientific publications. Christina completed doctoral coursework at Princeton University under Dr. Cornel West and received a Masters from Columbia’s SIPA.

Cynthia Zeng

Hello! I am a forth year PhD candidate at the Operations Research Center of Massachusetts Institute of Technology (MIT). I work with Prof. Dimitris Bertsimas on developing machine learning algorithms to address impactful problems, ranging from healthcare to climate change. In the future, I hope to develop AI-driven solutions to solve problems around climate change and sustainability. I plan to be on the job market in the Fall of 2023. Previously, I have worked as a quantitative analyst at BlackRock, and an investment analyst at SoftBank Vision Fund China. I received my Bachelor's degree in Mathematics from Imperial College London.

Dan Elton

Dan Elton is a Data Scientist in the Data Science Office at Mass General Brigham. Previously he worked as a Staff Scientist at the National Institutes of Health Clinical Center. He has a Ph.D. in physics. He writes at

Daniel Salinas

Daniel Salinas is a 20-year-old serial ecopreneur who has made a significant impact in the field of sustainability and environmentalism. He was chosen as one of the Innovators Under 35 by the MIT Technology Review, and has achieved significant success in his young career, including the sale of his first startup which had thousands of users and more than 200 companies as clients. Daniel is a well-known and respected figure in the sustainability community, having spoken at the World Biodiversity Forum in Davos and at the Climate Week hosted by the United Nations. He has also been featured in Forbes and other prominent publications. In addition to his entrepreneurial pursuits, Daniel is also a professor at Platzi (YC15) and an advisor at Crimson Education (Series C). Currently, Daniel is particularly interested in the intersection of AI and climate, exploring how advanced technologies can be leveraged to address the urgent challenges of global warming and environmental degradation. As an investor, Daniel has a keen interest in tech companies (Investing in companies like Mercury bank). He is interested in companies that are addressing the challenges of climate change and promote sustainable development, particularly in Latin America. He is the creator of the Latitud VC Climate Report, which provides valuable insights and analysis on the state of the industry specifically in Latin America.

Dylan Ebert

Developer Advocate at Hugging Face; PhD from Brown University; Making educational content under the name IndividualKex on TikTok/YouTube

Esther Dyson

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Fernanda Olivares

"Fernanda Olivares Visual Artist/ Dancer Founder FAMS (Fundación Arte y Mundo Sostenible) Mexico City, 1990 Fernanda Olivares´s work creates a hybrid bridge between traditional arts, dance, and digital media from the possibilities and strengths of each tool. By understanding painting as her native language and ballet as her daily practice, the artist aims to a technologically enhanced body, augmented cognition as well as the coexistence between humans, nature, and machines. Olivares founded FAMS, (Fundación Arte y Mundo Sostenible), a non-profit organization based in Mexico City, whose mission is to promote education, technological research, and contemporary art in Latin America. As head of this organization she directed BILIA, the first Artificial Intelligence Art Biennale in this region on April 2022. For the last three years Olivares has been experimenting with AI models that work with text, image, audio, movement and now 3D. She has collaborated on multiple art/science projects with Fablab Tech in Mexico City such as the Partner Pavilion in Solidworks World 2019. Fernanda has participated in various exhibitions, events, and biennales worldwide in Italy, Mexico, Russia, The Netherlands, and the USA. She has received prizes in the areas of women in STEAM along with mentoring young students to pursue arts with an ethical and scientific view. She was part of the 2022 keynote Speakers on Innovation STAG by AT&T 5G Lab, Digital Futures Young on AI and Diffusion Models, International Space Program 2022 and part of the selected exhibited projects and workshops for SiGraDi 2022- Critical Appropiations. As a teacher, Olivares has been a lecturer at SVA, New York and universities in Latin America as well as the Inter-American Development Bank. "

George Whitfield

Future generations of entrepreneurs, drawing upon his experiences in innovation-driven entrepreneurship, engineering, and student life. George’s interdisciplinary career spans computational aspects of e-commerce, FinTech, robotics, transportation, renewable energy, and nanotechnology. Today, George is the Co-Founder and CEO of FindOurView, which is extracting insights from consumer reviews and conversations to help companies do product research, using AI and machine learning. George envisions building on this work to drive mutual understanding across society. Prior to FindOurView, George was Director of Simulation at Nucleus Scientific, where he joined as an early employee and helped grow the company by 10x in size over the course of seven years, working on electric vehicles. While in the PhD program at MIT, George co-founded and was CEO of SunPoint, a solar tracking company that won the MIT Making and Designing Materials Engineering Competition and the Renewables Track of the MIT Clean Energy Prize. George also co-founded Socially Conscious Software to build mobile apps in the early days of the iPhone app store.

Harry Glorikian

"Harry Glorikian is an influential global business expert with more than 3 decades of experience building successful ventures in North America, Europe, Asia, and the rest of the world. Harry is well known for his achievements in life sciences, healthcare, diagnostics, healthcare IT, and the convergence of these areas. He is a sought-after speaker, frequently quoted in the media, and regularly asked to assess, influence, and be part of innovative concepts and trends. He holds 4 US patents in telecommunications and has others pending. He currently serves as a General Partner at Scientia Ventures. Before joining Scientia Ventures, he served as an Entrepreneur-In-Residence to GE Ventures – New Business Creation Group, leading to the founding of Evidation Health and DrawBridge Health. He currently serves on the public boards of StageZero Life Sciences. (TSX: SZLS) and Drumroll Health (Private). Mr. Glorikian holds an MBA from Boston University and a bachelor’s degree from San Francisco State University. Harry has addressed the National Institutes of Health, Molecular Medicine Tri-Conference, World Theranostics Congress, and other audiences, worldwide. He has authored numerous articles for industry publications, appeared on CBS Evening News and been quoted regularly by Dow Jones, The Boston Globe, BioWorld Today, Los Angeles Times, London Independent, Medical Device Daily, Science Magazine, Genetic Engineering News and many other media outlets. He is also the author of three books: The Future You: How Artificial Intelligence Can Help You Get Healthier, Stress Less, and Live Longer, Commercializing Novel IVD’s; A Comprehensive Manual for Success, MoneyBall Medicine: Thriving in the New Data-Driven Healthcare Market Harry is the host of The Harry Glorikian Show podcast series, which covers all about AI, life sciences, tech, and data in healthcare."

Isabella Loaiza

Isabella is a Research Assistant at the MIT Media Lab. She uses value-sensitive design to build tools to help individuals and communities make pivotal life decisions using data-driven insights about people like them. She is currently developing Career Compass, a tool to help US workers craft their careers in the context of the future of work. In the past, Isabella researched international migrations and built a tool called Voyage Viewer to help workers make decisions about international relocation destinations based on metrics about people like them and destination labor markets. Her work stands at the intersection of Computational Social Science, Design, and the Future of Work. "

Iya Khalil

Dr. Iya Khalil has had a storied career at the intersection of tech and medicine. The founder and CEO of GNS Healthcare left that position after a decade to join Microsoft’s Novartis in 2020. Now, Dr. Kahlil is moving on again. She will join pharma giant Merck as Vice President and Head of Data, AI and Genome Sciences.

Jack Gallifant

Dr Jack Gallifant is a full-time physician at Imperial College London NHS Trust and an honorary researcher at Guy's & St Thomas NHS Trust. He has a passion for data science and is fascinated by the potential of artificial intelligence to improve clinical outcomes. He is, therefore, an active member of MIT Critical Data, teaching physicians and data scientists how to evaluate clinical data and produce algorithms that work for all. Jack is strongly interested in using technology to reduce health disparities and global health inequity. Recent research has focussed on the recalibration of deployed algorithms, developing tools to interrogate data for bias, and continuously measuring health disparities over time. His goal is to produce a data-centred future that works for all.

Javier Viaña

Javier Viaña is currently a Postdoc Associate at the MIT Kavli Institute of Astrophysics and Space Research. He obtained his Ph.D. in eXplainable Artificial Intelligence applied to the Aerospace Engineering at the University of Cincinnati and spent his last doctoral year at MIT. His Ph.D. research revolved around the conception of novel transparent algorithms that not only provide accurate predictions but also human-understandable justifications of the results. His current research is focused on the design of deep neural network architectures that automatically detect transiting exoplanets from Kepler satellite data. Previously, Javier developed tailored AI solutions for different aerospace organizations such as Aurora Flight Sciences, Boeing, Satlantis Microsatellites, NASA, ESA, Genexia, and the Northern Kentucky International Airport. He graduated from his Bachelor's in Mechanical Engineering at the University of the Basque Country, and Master’s in Aerospace Engineering at the University of Cincinnati. His main research topics and interest include eXplainable AI (XAI), deep fuzzy networks, genetic fuzzy systems, bio-inspired evolutionary optimization, white dwarfs, exoplanets, and black holes. He has published four books, more than 20 peer-reviewed papers, several registries of intellectual property and four patents. He has received awards such as the Best National Research Article of 2016, the “La Caixa” fellowship award, the John Leland Atwood Award of the American Institute of Aeronautics and Astronautics, a letter of recognition from HH. MM. King Felipe VI and the Royal House of Spain, the Professor R. T. Davis Memorial Award for Academic Performance in Computational Sciences, the Airport Cooperative Research Program Award from the Federal Aviation Administration and The National Academy of Sciences, and 3 Outstanding and Best Paper Awards from the North American Fuzzy Information Processing Society’s (NAFIPS) Annual Conference.

Jeremy Dohmann

Jeremy Dohmann is a research scientist at MosaicML working on large language models.

Joseph Wehbe

Joseph Wehbe is an artificial intelligence ecosystem builder. Led the #1 winning DAIMLAS team of an MIT Challenge (knowledge-economy) in 2020. He is a World Economic Forum AI expert focused on How to build the next generation of AI talent, and National AI strategies. Joseph is listed as a contributor in the “Strengthening and Democratizing the US AI Innovation Ecosystem report” sent to President Biden and Congress on Jan 24, 2023. He’s also the VP Community for the Harvard Business School Alumni Angels.

Kehan Zhou

Kehan Zhou is a tech entrepreneur, startup mentor, and founder of A Wesleyan University graduate with honors in Economics and CSS, Kehan has a global perspective on innovation and entrepreneurship that comes from his experiences living and working in New York, London, Los Angeles, Toronto, Montreal, and Beijing. In his spare time, Kehan is also a professional choreographer. Before embracing his entrepreneurial calling, Kehan worked on Wall Street as a bond trader and investment banker, leading deals with a combined value of over $600 million. Currently, Kehan builds and scales startups that disrupt the incumbents and drive a better future with AI. As the co-founder and CEO of Terrascope, Kehan is pioneering computer vision technology that converts satellite images into powerful data about our physical world, empowering builders, insurance companies, and government entities to make better building and policy decisions.

Kevin Foxe

Kevin J Foxe, producer, writer, editor and director, has been working in new media since it was actually new. Producing through film, theater, digital, VR, AR, XR, online, offline, and multimedia for over 35 years. He was the founding vice chair of the Producer’s Guild New Media Council, (increasing membership by 65%) changing the definition of content producers for the industry. He has worked closely with many notable filmmakers, from Federico Fellini to Robert Benton, Sidney Lumet, Milos Forman, Al Pacino, Bob Fosse, Fred Schepisi, Stephen King, Danny Boyle and David Mamet. He has been the person behind many groundbreaking and successful projects- “Do Over”, a romantic comedy, the Sundance Documentary Audience Award Winner “How To Draw A Bunny”, the award winning documentary “Orphans of Apollo”, the Phillipino/American indie successes “American Adobo”, and “Smaller and Smaller Circles”, “” a social network app through Hands On Network that tracked and rewarded volunteerism for global change. Currently at work on a multi-platform project that spans Graphic Novels, video gaming, mobile/social gaming, television and Web 3 interactivity based on the popular Dark Horse Comics title, “Enter the Mandala”. He was a producer on the TV show “Freakylinks (or Fearsum)” for Fox which was a first to use an online companion experience, and the Executive Producer of “The Blair Witch Project” and “Book Of Shadows, Blair Witch 2”, films that changed interactivity and connectivity between the internet, gaming and film forever.

Leo Anthony Celi

Leo focuses on scaling clinical research to be more inclusive through open access data and software, particularly for limited resource settings; identifying bias in the data to prevent them from being encrypted in models and algorithms; and redesigning research using the principles of team science and the hive learning strategy.

Léonard Boussioux

Léonard Boussioux is an incoming Assistant Professor at University of Washington in Information Systems and Operations Management and holds a PhD from MIT in Operations Research. He specializes in healthcare and sustainability challenges and bridges operations research and artificial intelligence to develop multimodal decision tools that integrate sustainability into business and public policy practices. He also leverages generative AI to solve the United Nations’ Sustainable Development Goals. His research and entrepreneurial work have received wide recognition, including winning the MIT 3-minute thesis competition and awards from INFORMS, MIT, IEEE, UNESCO, and Google. He previously interned at Google X, Mila, UC Berkeley, and the French National Centre for Scientific Research. Léonard is also a passionate teacher and has received multiple teaching awards at MIT, including the Goodwin Medal, the institute's highest teaching award for a student.

leticiai Izquiero

Leticia Izquiero is an architect, urban planner, and researcher on the future of cities. Currently a Masters student in the City Science Group at the Massachusetts Institute of Technology (MIT), she is conducting research on decentralized energy systems, high-performance housing and incentive policies to cope with the current climate crisis. She also designs tangible interfaces to help achieve better urban design practices. Last updated: April 26, 2023 Leticia Izquierdo was part of the United Nations (UN) Chair on Equality Policies in Science, Technology, and Innovation, where she worked in public-private collaborations such as the new urban development of Madrid Nuevo Norte. She has practiced as an urban planner at EIT Climate KIC and Balkrishna Doshi Studio. Some of her projects have been exhibited at the Venice Architecture Biennale (ICT Tools for Safer Cities) and International Conferences on Data for Actionable Policy and Computational Social Sciences. She was a selected scholar at the Norman Foster Foundation Cities: Affordable Housing Workshop 2022 supported by the Holcim Foundation.

Logan Nye

I'm a physician who specializes in artificial intelligence and deep learning, combining my medical training and programming skillset to improve healthcare and advance scientific discovery. I believe that the most significant biomedical breakthroughs of our generation will occur at this intersection — the convergence of computation, intelligence, and medicine. I plan to spend my career contributing to this space. I work on deep learning for healthcare at Harvard Medical School and Massachusetts General Hospital, where I research and deploy innovative AI solutions for orthopaedic surgery and oncology. I plan to use my unique combination of medical and technological knowledge to pioneer a new type of medical career based on high-performance computing and quantitative approaches to patient care. My long-term goal is to use emerging technologies like artificial intelligence and quantum computing to address health challenges, improve patient care, and cure diseases.

Luis Pino

I´m a very curious colombian physician with formal training on internal medicine, hematology and oncology, molecular oncology, healthcare MBA and machine learning/deep learning. I have been an entrepreneur for 5 years, connecting nodes of knowledge from deep medicine (, for my country and Latin America

Marisa Tschopp

Marisa Tschopp is a researcher at scip AG, associate researcher at IWM Tübingen, and board member of Women in AI NPO. She researches AI from a relationship perspective, addressing a variety of psychological phenomena with a particular interest in ethical implications.

Mason Grimshaw

Mason was raised on the Rosebud Reservation as Sicangu Lakota in South Dakota and is the grandson of a rancher and a mechanic. He graduated from MIT with a Bachelors and Masters in business analytics. In addition to his work at Earth Genome, he helps to run the Lakota AI Code Camp, with the intention of expanding knowledge of artificial intelligence and data science in Native American communities. He was featured in the NY Times article “Training the Next Generation of Indigenous Data Scientists” about the 2021 IndigiData workshop focused on Indigenous data sovereignty. In previous work, he has delivered successful projects in several industries including healthcare for MIT Medical, logistics for the Massachusetts Bay Transportation Authority, and financial sales at MFS Investment Management.

Michael Chen

Michael Chen is at a unique crossroads as a student studying intelligent machines at MIT and doing research at the forefront of robotics and AI. He has been working for the past few months on a bipedal robot in MIT's AI Lab. Alongside being a student, he is an avid entrepreneur running a sauce company. For fun, he loves to build all sorts of cool inventions ranging from plushies that can speak spanish to gasoline powered snowboards.

Michael Lingzhi Li

Michael Lingzhi Li is an incoming Assistant Professor at the Harvard Business School. His research is focused on developing algorithms, evaluation frameworks, and tools to advance the frontier of real-world implementations of artificial intelligence and machine learning, focused on supply chain and healthcare. He graduated with a PhD degree in Operations Research from Massachusetts Institute of Technology, advised by Prof. Dimitris Bertsimas. He is the recipient of awards including the 2021-2022 INFORMS Edelman Finalist, the 2021 INFORMS Pierskalla Award and the 2021 Innovative Applications in Analytics Award.

Michael Running Wolf

Michael Running Wolf (Northern Cheyenne/Lakota/Blackfeet) was raised in a rural prairie village in Montana with intermittent water and electricity; naturally he has a Master’s of Science in Computer Science, is a former engineer for Amazon’s Alexa, former faculty at Northeastern University, and is pursuing a PhD in CS at McGill University. Michael is researching Indigenous language and culture reclamation using immersive technologies (AR/VR) and artificial intelligence. His work has been awarded a MIT Solve Fellowship, the Alfred P. Sloan Fellowship, and the Patrick McGovern AI for Humanity Prize. Through the ethical application of AI and advanced technology respecting Indigenous ways of knowing he is contributing to the ecology of thought represented by the Indigenous.

Mohammad Oli Ahad

Oli is the founder of Intelligent Machines. The team is based in Bangladesh and they build enterprise AI products. Before this, he led global/regional projects for 25 countries. Oli is a father of two young daughters. He loves reading, traveling, and coffee.

Morteza Maleki

I am an expert in clinical trials and trial analytics processes and I have worked with numerous prestigious pharmaceutical companies as a consultant to assist them with their clinical transformation needs. Currently, I am part of health transformation team at PwC healthcare consulting. I am also pursuing advanced graduate degree from Georgia Tech and also I am UofSC and MIT alumni. I perform Causal Inference research and interested in applications of causal inference in social sciences and healthcare.

Nasr Sattar

"Nasr runs the cross-functional NRT team responsible for product management, pricing, market intelligence and innovation. He has responsibility for strategic formulation, developing the corporate vision, leading strategic initiatives, transformation, and partnerships. He brings a broad range of payments and technology innovation experience to the company. Previously, at game developer AGS (NYSE: AGS), Nasr led the team that was responsible for table products, including the award-winning Stax Progressive System and the Dex S Shuffler. From naming new games, to holding patents, to advising on product road maps, Nasr managed products from conception through launch. Before that, he ran payment product implementations at Everi, (NYSE: EVRI) and was part of the relationship management team at the company. He worked across multiple gaming jurisdictions during his career, and has visited hundreds of casino customers around the world. Nasr’s natural inventiveness, deep understanding of customer operations, and his academic work – he studied finance and information systems at James Madison University and graduate business studies at MIT Sloan School of Management – make him an ideal leader for NRT’s Innovation and Strategy group."

Natan Vidra

Natan Vidra is the Co-Founder / CEO of Anote, an AI startup in New York City. Natan has experience working as a Data Scientist / Software Engineer within Deloitte's Applied AI division, where he has collaborated on many AI projects in the domains of Natural Language Processing, Computer Vision and Big Data Analytics. Natan graduated from Cornell University with a Bachelors of Science in Electrical and Computer Engineering, and a Masters of Engineering in Computer Science. At Cornell, Natan worked on a myriad of AI projects, ranging from autonomous trash picking robots to AI generated music. In the past, Natan has built many AI projects, such as AI fantasy soccer optimization models, reinforcement learning systems for robots, music recommender systems, NLP solutions for document classification, avionic software systems on rockets, federated learning products for medical images, and even a video first dating app.

Pablo Horneman

Eliminating routine work and pairing humans with AI to improve competitiveness and employee productivity at

Pat Pataranutaporn

"Pat Pataranutaporn is a technologist and a researcher at the Massachusetts Institute of Technology (MIT), where he explores the intersection of synthetic virtual humans and synthetic biology, specifically at the interface between biological and digital systems. He is currently a Ph.D. candidate in the Fluid Interfaces research group at MIT Media Lab and a KBTG Fellow. His interdisciplinary research ranges from investigating AI-generated characters for learning and well-being, human-AI co-reasoning, a wearable lab on the body with programmable bio-digital organ for space exploration, a machine learning model to detect linguistic markers related to mental health issues, and mind-controlled 3D printer. Pat's research has been published in Nature Machine Intelligence, Nature Biotechnology, IEEE, ACM CHI, ACM SIGGRAPH, ACM ISWC, ACM Augmented Humans, Royal Society of Chemistry, etc. He also serves as a reviewer and editor for IEEE and ACM publications. Pat's artistic projects have been exhibited at the MAXXI - National Museum of 21st Century Art (Italy), The Art Gallery of Western Australia (Australia), Bangkok City Gallery (Thailand), National Museum of Singapore (Singapore), Essex Peabody Museum (USA), London Design Festival (UK), Transmediale Festival (Germany), National Taiwan Science Education Center (Taiwan), IDEA Museum (Arizona), Mesa Arts Center (Arizona), Autodesk Gallery (California), and more. Pat’s research publication is recognized worldwide and has been featured in the United Nations AI for Good forum, Time magazine, Forbes, National Geographic, FastCompany, The Guardian, Disruptive Innovation Festival, and more. As a person, who really loves space dinosaurs, Pat believes in bringing crazy ideas, and moonshot thinking to create future innovation. "

Priya Bhasin

Product leader with over 9+ years of experience in building large scale consumer Products at Yahoo, Apple. Priya is passionate about driving innovation while building dynamic & inclusive teams. During her time at MIT, she built inclusively and won prestigious funding through MIT 100K award (previous finalists include Hubspot, Akamai). She was also invited at TedX Boston and MIT Media Lab to share her work

Raj Bala


Raj Bhojan

Dr.Raj is a renowned expert in the field of AI and automation. He has two decades of combined professional experience in academics and IT. Dr.Raj earned his Ph.D. in Computer Science from Bharathiar University, India. He holds M.Sc (Phy), MCA (CS), and M.Phil(CS) for his credentials. He owns multiple U.S. Patents and frequently delivers lectures at AI conferences. Dr.Raj has authored numerous peer-reviewed publications in top-tier scientific journals and presented his research at International Conferences. He spoke at Google Tech Talks, IEEE Forums, Reputed Universities, and popular International conferences. His research areas include NLP, Computer Vision, Telematics, and Software Engineering. He has worked as Principal Consultant, Senior Manager, SME, and Solution Architect in Fortune 100 & 500 companies across different continents."

Ramin Hasani

Ramin Hasani is a Principal AI and Machine Learning Scientist at the Vanguard Group and a Research Affiliate at the Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology (MIT). Ramin’s research focuses on robust deep learning and decision-making in complex dynamical systems. Previously he was a Postdoctoral Associate at CSAIL MIT, leading research on modeling intelligence and sequential decision-making, with Prof. Daniela Rus. He received his Ph.D. degree with distinction in Computer Science at Vienna University of Technology (TU Wien), Austria (May 2020). His Ph.D. dissertation and continued research on Liquid Neural Networks got recognized internationally with numerous nominations and awards such as TÜV Austria Dissertation Award nomination in 2020, and HPC Innovation Excellence Award in 2022. He has also been a frequent TEDx Speaker.

Robert Mahari

Robert Mahari is pursuing a joint JD/PhD degree at Harvard Law School and the MIT Media Lab’s Human Dynamics Group. His work focuses on how technology can and should affect the practice of law by broadening access to justice and increasing judicial efficacy.

Sabs Quereshi

Sabs K. Quereshi is a senior-level expert with 16+ years of experience in global health and infectious diseases, foreign policy, gender equity, national security, humanitarian assistance, climate resilience, disaster preparedness & response, and multilateral affairs sectors in the U.S., with the UN, and worldwide. She is the former Director at the Rockefeller Foundation's Health Initiatives Div., and former Advisor to the United Nations Health and Immunizations, Emergencies, and Communications divisions in NY HQ as well as the Middle East and Africa country offices. She has previously served as a Humanitarian Policy Advisor and Acting Team Lead at the USAID Bureau of Humanitarian Assistance, covering issues related to humanitarian assistance and UN system reform, Ebola outbreaks, food insecurity, global health partnerships and donor government engagement. Previously, Ms. Quereshi worked as a Senior Health Advisor and COVID-19 Racial Equity Task Force Lead to the California Surgeon General and Governor Newsom's Office, WHO/IRC health cluster lead in Syria for 10+ relief organizations at height of the Syrian civil war, Ebola + Zika + Measles outbreak expert in West Africa, South America and South Sudan, respectively; interagency emergency lead for the 2010 Haiti Earthquake and 2011 Tohoku earthquake and tsunami, investigative epidemiologist for U.S. DHHS and even spent time advising Senator Bernie Sanders (I-VT) on U.S. health care reform during the Bush Administration & the 110th Congress. She has published articles in academic journals ranging from Johns Hopkins University to Harvard’s Belfer Center and contributed to congressional testimonies for USAID Administrators, USUN ambassadors, Secretaries of State and HHS, and online media publications. She is a member of the Council on Foreign Relations, a Presidential Leadership Scholar, and holds an M.P.A. from Harvard Kennedy School, M.P.H. in Health Policy from George Washington University, and B.S. in Biomedical Science from Marquette University. She is a recovering neuroscientist, a proud native of Wisconsin, multilingual in six languages, and an advocate for building climate resilience, private-public partnerships, global health equity and inclusion, innovative tech and health finance solutions, and meeting the SDGs commitments worldwide.

Sadhana Lolla

Sadhana is a third-year undergraduate student at MIT majoring in computer science and minoring in mathematics. Her research focuses broadly on the application of deep learning to robotics and on designing and deploying safe and trustworthy AI. She is currently a researcher at MIT CSAIL and a machine learning scientist at Themis AI, and has previously worked on deep learning projects at Google.

Samson Qian

Researching and building the next-generation of computing and technology in finance and AI. My passion is working with data to build systems, solve complex challenges, and to better understand how the world operates. GitHub: Kaggle:

Shrikant Savant

Current: Analysis & Science Director, Dassault Systèmes SolidWorks Corp. Ph.D., Massachusetts Institute of Technology M.S., University of California, Santa Barbara B.Tech., Indian Institute of Technology, Bombay

Somesh Mohapatra

Somesh Mohapatra is a keen researcher with an entrepreneurial mindset. He has a PhD in Polymers and Soft Matter from MIT, and an MBA from MIT Sloan School of Management. During his time at MIT, he co-founded MatSci AI, an AI-services company for manufacturing industries, interned with Amgen and Google Research. He completed his Bachelor in Technology from Indian Institute of Technology Roorkee in 2017, and worked as a bioinformatician in Japan, a bureaucrat in India, and an algorithmic trader in Singapore. Currently, he is driving supply chain analytics at Caterpillar Inc., a Fortune100 company.

Soroush Hajizadeh

Computational Biochemist and Data Analyst - Research Fellow at Harvard Medical School and Massachusetts General Hospital

Sri Krishnamurthy

Sri Krishnamurthy is the founder and chief research officer of QuantUniversity, an online learning platform that provides education and training in quantitative finance, data science, and machine learning. He has over 25 years of experience in the financial industry and has worked in various roles such as quantitative analyst, trader, and risk manager. Sri Krishnamurthy is a frequent speaker at conferences and seminars on topics related to data science, quantitative finance, and risk management. He has also authored several articles and research papers in leading academic journals and teaches machine learning related topics at Northeastern University

Tejas Kulkarni

I am a Senior Research Scientist at DeepMind. I did my PhD at MIT while working with Josh Tenenbaum in the Brain and Cognitive Sciences department. I am interested in understanding our minds and brains to create AI. I believe this can be achieved by integrating deep (reinforcement) learning, probabilistic programming and rich simulators. My work has led to the development of - vision as inverse graphics, hierarchical and structured deep reinforcement learning, probabilistic programming and language understanding via interactive text games.

Tian Cai

I’m a PhD Candidate in computer science with an algorithmic focus on deep learning Out-of-Distribution generalization and an application focus on drug discovery. I’m looking for a research scientist role where I can help biologists deconstruct drug discovery problems to an algorithmic level and develop solutions.

Tobias Zeulner

Tobias is a visiting student at the Massachusetts Institute of Technology (MIT) in Boston, where he is conducting research in the field of artificial intelligence. In 2021, he established and scaled, which has become one of the worldwide leading student-led non-profit organizations in the field of AI. Through partnerships with companies such as Microsoft, Google, and OpenAI, he has organized and managed events that have brought together hundreds of participants to harness the power of AI for the common good (AI4Good). While completing his studies at the Technical University of Munich, Tobias is committed to making a positive societal and environmental impact using technologies such as AI or cloud computing.

Valdemar Danry

Valdemar Danry is a researcher, artist and tech humanist at Massachusetts Institute of Technology. With his background in philosophy, cognitive science, and artificial intelligence, he seeks to understand how artificial intelligence might improve our cognitive capabilities. Valdemar has worked with international collaborators from MIT, Harvard, Georgia Tech, IBM Research, and University of California, and has exhibited his work at Ars Electronica, Electrical Artifacts and at the MIT Museum. His team’s projects have been featured on FastCompany, Time, Disruptive Innovation Festival, National Geographic, The Guardian, and UNEP.

Vikash Mansinghka

" Vikash Mansinghka is a Principal Research Scientist at MIT, where he leads the Probabilistic Computing Project, part of MIT's CSAIL, Department of Brain & Cognitive Sciences, and the Quest for Intelligence. Vikash holds S.B. degrees in Mathematics and in Computer Science from MIT, as well as an M.Eng. in Computer Science and a PhD in Computation. He also held graduate fellowships from the National Science Foundation and MIT’s Lincoln Laboratory. His PhD dissertation on natively probabilistic computation won the MIT George M. Sprowls dissertation award in computer science, and his research on the Picture probabilistic programming language won an award at CVPR. He co-founded three VC-backed startups: Prior Knowledge (acquired by Salesforce in 2012) and Empirical Systems (acquired by Tableau in 2018), and Common Sense Machines (funded in 2020), and advises in companies such as DeepMind, Intel, and Google. He served on DARPA’s Information Science and Technology advisory board from 2010-2012, currently serves on the editorial board for the Journal of Machine Learning Research, and co-founded the International Conference on Probabilistic Programming."

Yibiao Zhao

Yibiao Zhao has been working as a Co-Founder & Chief Executive Officer at Isee for 6 years. Isee is part of the Engineering Software industry, and located in Massachusetts, United States. Yibiao completed his PhD at UCLA studying computer vision and his Postdoc at MIT studying cognitive robots. He is a pioneer of engineering common sense for visual understanding and cognitive robots, and he is the co-chair of the interdisciplinary workshop series at the CVPR and CogSci conferences.

Yilun Du

I am a fourth-year PhD student at MIT EECS, advised by Prof. Leslie Kaelbling, Prof. Tomas Lozano-Perez and Prof. Joshua B. Tenenbaum. Previously, I obtained my bachelor's degree from MIT, was a research fellow at OpenAI, an intern at Deepmind and FAIR, and got a gold medal at the International Biology Olympiad. My research interests lie in developing machine learning tools to create autonomous embodied agents. Two major challenges presented in the embodied setting include: high uncertainty and the rich combinatorial nature of the world. To tackle these issues, I utilize energy-based models to model underlying probability distributions in this setting and to construct composable models that can quickly adapt and generalize to new experience. Moreover, I use the energy optimization procedure as an adjustable computational budget, allowing longer computation times to adapt to novel out-of-distribution experiences. Embodied learning is multimodal, and I use neural fields as a tool to capture structure across modalities such as vision, text, sound, and touch. Finally I'm interested in broader applications of these tools to other domains such as computational biology.

Organizing team


Brookline, MA, United States
  • Patrick McKinney